Xense Robotics presented its tactile intelligence technology systems at ICRA 2026 in Vienna, showing hardware, data acquisition tools and model-based robotic manipulation capabilities aimed at physical interaction tasks. The company exhibited at Messe Wien Exhibition & Congress Center during the robotics conference.
The company’s showcase centered on a dual-arm robotic demonstration using a VTLA model to perform a carton-forming task. The operation involved grasping cardboard, unfolding it, aligning edges, folding, shaping and pressing the material into a formed carton. Xense Robotics said the system used real-time tactile and visual feedback rather than fixed-trajectory programming, allowing the robot to adjust its movements based on contact position, force, deformation and stability during the task.
Xense Robotics also introduced TacCap-Gripper, a two-finger tactile data acquisition device for robotic physical interaction. The device integrates a visuo-tactile sensor, an inertial measurement unit and a high-resolution encoder to capture synchronized data from robot motion, vision and touch. According to the company, the system is intended to record contact states, pressure distribution, material deformation, slippage and force changes for use in grasping, assembly and model training.
The company displayed a range of multimodal tactile sensors designed for fingertips, grippers, flat surfaces and curved surfaces. The sensors are intended for use with dexterous hands, industrial robotic arms, humanoid robots and other embodied intelligence systems. Xense Robotics said its fingertip tactile sensor can capture micro-deformation, texture changes and multidimensional force states for operations such as alignment, poking, rolling and fine grasping.
The booth also included an interactive demonstration using a planar tactile sensor to control a game through touch, pressure and force changes. The demonstration was designed to show the response and pressure-recognition capabilities of the company’s tactile sensing technology in human-machine interaction settings.
